NDLI: Managing the noisy glaucomatous test data by self organising maps

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S/sub -/ART: a modified ART 2-A algorithm with rapid intermediate learning capabilities

The use of formal measures for the training of hierarchical Kohonen maps

Unsupervised learning: the Dog Rabbit strategy

Dynamic hierarchical self-organizing neural networks

Pulse waveform synthesis using recurrent complex-valued neural networks

Nonlinear data compression and representation by combining self-organizing map and subspace rule

Training the self-organizing feature map using hybrids of genetic and Kohonen methods

A new quantitative measure of topology preservation in Kohonen's feature maps

Managing the noisy glaucomatous test data by self organising maps

The "capture effect": a new self-organizing network for "adaptive resolution" clustering in changing environments

A measure of disorder for the self-organizing map

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Self-organized learning of 3 dimensions

An unsupervised neural network with a memory replacement effect

Topological preserving network by the existence of lateral feedback

Linear feature extraction in networks with lateral connections

A new competitive learning algorithm with dynamic output neuron generation

Control of annealing in minimal free energy vector quantization

Reduced risk of Kohonen's feature map non-convergence by an individual size of the neighborhood

Synthesizing neural networks by sequential addition of hidden nodes

Soft competitive learning in the extended differentiator network

Similarity analysis of molecules with self-organizing surfaces-An extension of the self-organizing map

A stochastic unsupervised competitive learning algorithm for the design of cellular manufacturing systems

Robustness of Hebbian and anti-Hebbian learning

Adventures in cubic curve fitting: two optimization techniques and their application to the training of neural networks

Towards associative non-algorithmic neural networks

Implementation of a Bayesian self-organizing neural network

Properties of learning in fuzzy ART

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A learning algorithm for improving generalization ability of multi layered neural network for pattern recognition problem

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Stability analysis for dynamical neural network systems

Synchronization and desynchronization in locally coupled Wilson-Cowan oscillators

Noise and neuromodulatory effects in a cortical associative memory model

Convergence in neural networks with interneuronal transmission delays

Robustness of recurrent neural networks against deformation of external input patterns

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Managing the noisy glaucomatous test data by self organising maps

Content Provider	IEEE Xplore Digital Library
Author	Xiaohui Liu Gongxian Cheng Wu, J.
Copyright Year	1994
Description	Author affiliation: Dept. of Comput. Sci., London Univ., UK (Xiaohui Liu; Gongxian Cheng)
Abstract	One of the main difficulties in obtaining reliable data from patients in glaucomatous tests is the measurement noise caused by the learning effect, inattention, failure of fixation, fatigue, etc. Using Kohonen's self-organising feature maps, we have developed a computational method to distinguish between the noise and true measurement. This method has been shown to provide a satisfactory way of locating and rejecting noise in the test data, an improvement over conventional statistical methods.
Starting Page	649
Ending Page	652
File Size	354833
Page Count	4
File Format	PDF
ISBN	078031901X
DOI	10.1109/ICNN.1994.374252
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-06-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Automatic testing Noise measurement Fatigue Data analysis Psychology Hospitals Statistical analysis Cause effect analysis Failure analysis Fluctuations
Content Type	Text
Resource Type	Article

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